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Molecular Docking Analysis of Key Gene-Related Drug Candidates for Burn Injury
No full textBackground: Although advanced therapeutic approaches have been used to improve the outcomes of burn patients, burn injuries continue to pose a life-threatening challenge. This study aimed to identify the innovative biomarkers and potential key gene-related drug candidates for burns. Method: We identified differentially expressed genes (DEGs) in the GSE182616 dataset, comparing control individuals with burn patients across various time points within 24 h. Co-DEGs were identified at specific intervals (0–2 h, 2–4 h, 4–8 h, 8–12 h, and 12–24 h) through overlapping analysis. Furthermore, key genes were found before and after DJK-5 treatment in the GSE210640 dataset. Based on these key genes, we screened key gene-related sets and subsequently predicted potential gene inhibitors through molecular docking. Result: Based on overlapping analysis of the GSE182616 dataset, 21 co-DEGs were screened, identifying 6 key genes, including integrin beta2 (ITGB2), GTPase of immunity-associated protein 6 (GIMAP6), tripartite motif-containing 22 (TRIM22), IFN regulatory factor 7 (IRF7), ubiquitin carboxyl-terminal hydrolase 15 (USP15), and mitogen-activated protein kinase 14 (MAPK14) with significant changes before and after treatment. These key genes demonstrated positive associations with inflammatory-related pathways such as the janus kinase-transducer and activator of transcription (JAK-STAT) signaling pathway, nuclear factor kappa-B (NF-κB) signaling, Toll-like receptor signaling, B cell receptor signaling, and T cell receptor signaling pathways. Additionally, these key genes were linked to immune cells including activated CD8 T cells, activated dendritic cells, mast cells, monocytes, natural killer cells, and neutrophils. Molecular docking demonstrated that compound DB08059 was a potential inhibitor of GIMAP6 and USP15. Moreover, compounds DB05442, DB14059, DB08437, and DB07186 acted as inhibitors of IRF7, ITGB2, MAPK14, and TRIM22 proteins, respectively. Conclusions: This study provided novel ideas for the underlying mechanism of key genes in burns and shared promising strategies for the treatment of burn injuries
Enhancer-Driven Gene KLK6 Promotes Radio-Resistance in Colorectal Cancer
No full textBackground: Colorectal cancer (CRC) is the third most common cancer worldwide. However, CRC treatment with radiotherapy often results in the development of radiation resistance. Chromatin immunoprecipitation sequencing (ChIP-seq) analysis of histone H3K27 acetylation (H3K27ac) revealed that enhancers play important roles in CRC. This study investigated the relationship between an active CRC enhancer and kallikrein-related peptidase 6 (KLK6) and its effect on CRC radiation resistance. Methods: Enhancer-driven genes in CRC were obtained from public H3K27ac ChIP-seq data and intersected with highly expressed genes in radioresistant CRC. The clinical roles of KLK6 in CRC and radiation resistance were analyzed using the standardized mean difference (SMD) model, summary receiver operating characteristic (SROC) curves, and Kaplan–Meier curves. The biological mechanisms of KLK6 were also explored using multiple computational biology algorithms and software such as R, STATA and SPSS. Results: The analysis of 58 H3K27ac ChIP-seq datasets revealed a total of 13,703 enhancer-regulated CRC genes. KLK6 was enhancer-driven and notably up-regulated in CRC tissues compared with non-CRC controls, exhibiting an SMD value of 1.03 (95% CI (confidence interval) = 0.68–1.38). Moreover, in radiation-resistance CRC, KLK6 expression was increased, exhibiting an SMD value of 0.29 (95% CI = 0.11–0.46) and an area under the curve (AUC) value of 0.74 (95% CI = 0.70–0.78). Additionally, KLK6 was associated with the immune microenvironment and was enriched in the ribosomal pathway of radioresistant CRC. Conclusions: The enhancer-regulated gene KLK6 is involved in radiation resistance in CRC patients
Classification of renal tumor histology subtypes based on radiomics features of CT images
Get PDFObjective Accurate preoperative differential diagnosis of fat⁃poor angiomyolipoma (fp⁃AML) and clear cell renal cell carcinoma (ccrcc) is essential for proper treatment planning. In order to increase the accuracy of discrimination of fp⁃AML from ccrcc, we develop a classification model based on radiomics technology. Methods The study retrospectively collected CT images of 18 cases with fp⁃AML and 42 cases with ccrcc from department of radiology, the Second Affiliated Hospital of Suzhou University. Firstly, 430 radiomics features were extracted from CT images. Then, the feature selection was carried by three steps: Pearson’s correlation matrices were calculated to remove redundant features, Welch’s t⁃test was utilized to determine the statistically significant features, and sequential forward floating selection method was used to select the discriminative features. Finally, k⁃nearest neighborhood, random forest, support vector machine and adaboost classifiers were built for classification. Results The model built by SVM classifier achieved the best classification performance, with accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curves of 91.67%, 88.89%, 92.86%, 84.21%, 95.12%, and 0.9418. Conclusions The proposed model can increase the classification accuracy of discrimination of fp⁃AML from ccrcc, and has great potential in helping radiologists to discriminate fp⁃AML from ccrcc
The advancement of microsensors in the age of IoT and Industry 4.0
Get PDFSensors are devices that receive input and produce an analog or digital output signal. They are found in almost every aspect of human activity, from robotics, medical devices, consumer electronics, automobiles, to residential appliances and industrial automation [1]. In recent years, the rapid increase of interconnected devices that are connected to the internet has defined a new technological term: the “Internet of Things” (IoT). IoT has created a demand for acquiring, collecting, and processing vast amounts of data, thus shaping the upcoming new industrial revolution “Industry 4.0” [2]
Blockchain-based cyber-security proposal in commerce mobile platforms for social and sustainability businesses
Get PDFThis study aims to propose the integration of cyber security measures with sustainable mobile commerce platforms and evaluate their efficacy in promoting social entrepreneurship and sustainability in the field of mobile commerce. A platform was developed for Android and iOS platforms using the Flutter Framework and Dart Programming Language, and it included features designed to help social entrepreneurs and non-profit organizations connect with potential donors, volunteers, and partners. The study includes participants from social entrepreneurs, non-profit organizations, and potential donors who are recruited to use the platform to create and promote their social business projects and to provide feedback on their experience using the platform. The results of the integration are expected to show that the mobile platform for social business is effective in promoting social entrepreneurship and sustainable development and in connecting social entrepreneurs and non-profit organizations with potential donors and partners due to the security measures that have been taken in the application and data protection, ensuring privacy with a comparatively lower risk than other platforms. In conclusion, this paper presents a blockchain-based secure mechanism for mobile platforms for m-commerce and social business, which is a valuable tool for promoting social entrepreneurship and sustainable development. It can be used to create a positive social impact in local and, conceivably, international communities. The proposal explicitly explains the methodology and implementation of the platform and highlights the significance and impact of this research in advancing the fields of mobile commerce, social entrepreneurship, and sustainability
Geoheritage and cultural heritage overview of the Toba caldera geosite, North Sumatra, Indonesia
Get PDFGeoheritage is recognized as a component of cultural heritage, especially in the Toba Caldera Geopark area. The aim of the research is to determine the relationship between geoheritage and cultural heritage in the concept of abiotic ecosystems. The research method used in this research is empirical juridical or non-doctrinal with a sociological/empirical approach using a non-positivist approach, including reference studies and observations. The research results describe sarcophagi and megaliths carved from Toba tuff rock estimated to be 73,500 years old during the Pleistocene period and andesite lava 33,000 years old from the eruption of the Toba volcano
Exploring tourism SMEs crisis management practices during Covid-19 at Boudha, Kathmandu
Get PDFThe worldwide tourism industry alone expanded by 3.9% in 2018, contributing $8.8 trillion in sales and 319 million jobs to the global economy. The COVID-19 pandemic, which began to spread around the planet in 2020, had an impact on every aspect of life. Though many studies have explored COVID-19’s effects on tourism SMEs in Nepal, there’s a significant lack of research on their crisis management strategies during the pandemic. Thus, this study aims to measure the crisis management techniques used by small and medium-sized businesses (SMEs) in the Boudha Area during the COVID-19 epidemic. The study uses an explanatory research design to analyze a comprehensive understanding of how the Boudha Area’s SMEs in the tourism industry handled the crisis of SMEs in the Kathmandu Valley. Non-probability with convenient sampling is used for the study. Data is collected through 403 SMEs using a structural questionnaire, and data collection is done using Kobo Toolbox. Structural Equation Modeling (SEM) using Partial Least Squares (PLS) version 4.0 is adopted for data analysis. The result shows a significant relationship between cost control and expected assistance with crisis management, while marketing and organizational support have an insignificant relationship with crisis management. Similarly, during COVID-19, 90.82% of the businesses had closed their businesses, and 47.89% of SMEs had closed for 3 months. Additionally, 88.09% of SMEs faced losses during COVID-19, and to maintain the crisis 46.4% of SMEs used their income to handle crises during COVID-19, and 93.3% of SMEs reduced their expenses to manage the crisis
Construction of the tourist sentiment dictionary for hotels to mining tourist demands: Based on Macao’s hotel reviews from Agoda
Get PDFTourist hotels (or tourist accommodations) are located near tourist attractions, primarily serving tourists. In recent years, with the gradual improvement of people’s living standards around the globe, tourists’ demands and standards for tourist hotel construction have been rising accordingly. In the context of technologization and informatization, various hotel booking platforms (Agoda, Booking, Trip, etc.) cover a large amount of review data in evaluating systems to reflect tourists’ demands. Meanwhile, identifying demand-oriented reviews and extracting core consumer demands from them is crucial for optimizing hotel services and enhancing tourist satisfaction. Therefore, this study explores the demands of tourists in tourist hotels from the perspective of text sentiment analysis and takes Macao, a famous tourist destination, as an example, based on reviews of tourist hotels on the Agoda site platform. Specifics are as follows: (1) Based on pointwise mutual information (PMI) and information entropy (IE), it realizes the identification of sentiment words in the field of tourist hotels and constructs a sentiment dictionary to address the problem of poor relevance between word segmentation results; (2) It summarizes the five types of reviews containing tourist demands (positive, negative, suggestion, demand, and comparison) and their characteristics to solve the ambiguity of texts and further accurately reveal the main demands of tourists; (3) It classifies tourist demands and group similar tourist demands into the same categories to address the problem of multiple expressions for the same demand. The present study provides empirical experiences from Macao’s hotels and contributes to the literature on text sentiment analysis in tourist hotels. Furthermore, the study results could enhance the mining accuracy and provide a detailed summarization of consumer demands and directions for the sustainable optimization improvement of tourist services
Cultural diversity and enterprise innovation: A study from the perspective of dialect
Get PDFChina has a vast territory. The rich and different regional culture formed over the past 5000 years is an ideal scene for the study of "culture and finance". This paper uses the number of urban dialects and dialect differentiation index to measure regional cultural diversity, and empirically studies its impact on enterprise innovation. The results show that in areas with more diverse cultures, private high-tech enterprises will obtain more innovative output. After using instrumental variables to solve endogenous problems and excluding the impact of educational development, the conclusion of this paper is still robust. Further research also found that the greater the difference between different dialects in the city where the company is located, the greater the population inflow, the better the inclusiveness and the higher the level of intellectual property protection, the more significant the impact of dialect diversity on innovation. The conclusion of this paper will help the academic community to understand the non institutional reasons behind the unbalanced economic development of Chinese cities from a new perspective, and also provide empirical evidence from non immigrant countries with deep cultural heritage for the current international academic research on "culture and finance"
High Aluminum content in the aquifer of Camaçari industrial pole, state of Bahia, Brazil: Correlation with natural and anthropogenic environmental factors using multivariable analysis
Get PDFThis work used multivariable analysis to correlate groundwater high aluminum content in the area of the Liquid Effluent Treatment Center—CETREL of the Camaçari Industrial Pole, with natural environmental factors: geology, hydrogeology, precipitation, soil and vegetation; and anthropic: equipments of treatment and disposal of industrial waste from CETREL. This company made available data from 99 monitoring wells, period 2006–2016, with aluminum content above (0.2mg/L) the limit established by the Ministry of Health Ordinance Nº 888, 5 April 2021. Previous studies have indicated that there is no correlation of aluminum in groundwater of the Camaçari Industrial Pole with other metallic contaminants; also, that aluminum in the studied region is disseminated in the geological matrix, clayey soils, and poor and leached Cerrado soils. The Kruskal-Wallis test indicated significant correlation of high aluminum content with the treatment/disposal areas, geology, soil and vegetation; and no correlation with precipitation and hydrogeology. The four environmental factors indicating the highest average aluminum content (±C95%), in descending order, are: Clayey Soils, Organic Sludge Farm I, Marizal Formation, and Herbaceous-Subshrub Vegetation. The multivariable analysis indicated that, the most influential factors on the high aluminum content in groundwater of the CETREL region, are all ultimately associated with the leaching of aluminum present in the solid matrix. As CETREL processes are not correlated with aluminum residues, the results were an important information for the company environmental managers